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Hotfixing qwen2 and starcoder2 (which also get clamping).

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Nicolas Patry 2024-07-02 14:26:16 +02:00
parent 963b6c6f0f
commit 57541d5e88
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GPG Key ID: E939E8CC91A1C674
2 changed files with 2 additions and 2 deletions
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2
server/text_generation_server/models/custom_modeling/flash_qwen2_modeling.py
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@ -368,7 +368,7 @@ class Qwen2ForCausalLM(torch.nn.Module):
elif self.max_past is not None:
# Clamp in decode mode as paged attention requires clamped values whereas the flash attention
# kernel requires the true values
input_lengths = torch.clamp(input_lengths, max=self.max_past_tensor)
input_lengths = input_lengths.clamp(max=self.max_past_tensor)
hidden_states = self.model(
input_ids,

2
server/text_generation_server/models/custom_modeling/flash_starcoder2_modeling.py
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@ -534,7 +534,7 @@ class FlashStarcoder2ForCausalLM(torch.nn.Module):
elif self.max_past is not None:
# Clamp in decode mode as paged attention requires clamped values whereas the flash attention
# kernel requires the true values
input_lengths = torch.clamp(input_lengths, max=self.max_past_tensor)
input_lengths = input_lengths.clamp(max=self.max_past_tensor)
hidden_states = self.model(
input_ids,